Product Analyst at Rwazi, Inc. | Torre

Product Analyst

You'll drive product evolution with data-driven insights, shaping strategy for a cutting-edge AI platform.
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Full-time

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Emma of Torre.ai
about 2 months ago

Requirements and responsibilities


Mission at RwaziRwazi’s AI-powered SaaS platform serves enterprise clients who rely on decision-grade data and actionable intelligence.The Product Analyst owns the quantitative visibility layer of the product.This role analyzes user behavior, product performance metrics, feature adoption, and retention signals to inform product strategy and roadmap decisions.The Product Analyst ensures product decisions are grounded in evidence, not intuition.Core MandateThe Product Analyst is accountable for:Measuring and interpreting user behavior across the SaaS platformTracking feature adoption, engagement, and retention metricsIdentifying friction points and drop-offsTranslating behavioral data into actionable product insightsProviding structured recommendations to VP of ProductThis is a product intelligence role embedded inside product execution.Key ResponsibilitiesUser Behavior AnalysisTrack user journeys across dashboards, workflows, and modulesIdentify usage frequency patterns across accountsAnalyze session depth, repeat usage, and expansion signalsDetect behavioral differences across verticals and enterprise segmentsFeature Performance & AdoptionMonitor new feature launch performanceTrack adoption velocity and engagement ratesIdentify underutilized features and diagnose causesSupport A/B testing and experiment analysisRetention & Expansion MetricsMeasure account-level retention and churn indicatorsIdentify signals predictive of expansion or contractionBuild cohort analyses across industries and client tiersProduct KPI GovernanceDefine and maintain core product metricsEnsure data accuracy and consistency across dashboardsMaintain product performance reporting cadence (weekly/monthly)Insight Generation & Strategic InputTranslate data into clear, structured insightsProvide recommendations to VP of Product and cross-functional teamsSurface early warning signals affecting product healthRole ImpactStrong performance in this role results in:Data-driven roadmap decisionsFaster detection of product frictionImproved feature adoption ratesHigher retention and expansion metricsReduced reliance on anecdotal product feedbackThis role strengthens the intelligence behind product evolution.What This Role Is NotThis is not a passive reporting roleThis is not general business analytics disconnected from productThis is not ad-hoc dashboard building onlyThis role requires structured reasoning, proactive insight generation, and product fluency.Qualifications and ProfileWe are looking for individuals who demonstrate:3–6+ years in product analytics or SaaS analytics rolesStrong fluency in SQL, data modeling, and analytics toolingExperience working closely with Product teamsAbility to conduct cohort analysis, funnel analysis, and retention modelingStrong quantitative reasoning and pattern recognitionComfort translating data into executive-level insightsCandidates may come from high-growth B2B SaaS, marketplace platforms, or data-intensive environments.Cultural FitWe value analysts who:Think in systems and causal relationshipsQuestion assumptions and validate with dataPrefer clarity over complexityMove quickly and iterateAre comfortable operating with executive visibilityThis role is suited for individuals who enjoy turning behavioral data into product advantage.How Candidates Are EvaluatedCandidates are evaluated based on:Their ability to interpret behavioral product dataClarity and rigor of their analytical reasoningExperience building actionable product insightsComfort working with ambiguity and incomplete signalsTheir ability to influence product decisions through evidenceWe prioritize demonstrated analytical capability and product impact over resumes alone.SummaryThe Product Analyst ensures Rwazi’s product evolves based on measurable user behavior and performance signals.This role strengthens the product intelligence layer and enables disciplined, data-driven product growth.
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